Gm Global Technolgoy Operations, Inc.

Patrick M Hilber

John Stilianos Agapiou

Pulak Bandyopadhyay

Fangming Gu

Jeffrey Morgan Alden

Garrold A DeGrace

Eric A Steinhilper

Gabriel Gonzalez Gillis

Axel F Antongiorgi

John R Wayton

Daniel J Pinkelman

Aloysius Anagonye

A method to derive and apply computer numerical control global offsets includes: measuring features of a machined part using a coordinate measuring machine (CMM); programming a first processor within the CMM to receive the dimensions of the features and to output computer numerical control (CNC) offsets; and forwarding the CNC offsets from the CMM to a CNC machining system to correct operation of the CNC machining system.

System and method to derive and apply computer numerical control global offsets during part measurement on coordinate measuring machine

A cup plug insertion tool comprises a cylindrical base and a cylindrical collet extending from the base and including at least two longitudinal slots that divide the collet into at least two flexible segments adapted to flex radially inward under force, an annular groove formed adjacent the base, the annular groove adapted to allow the flexible segments to flex radially inward, further wherein, the force necessary to flex the flexible segments radially inward is tunable based on a width and depth of the annular groove, a first section defining a circumferential outer diameter and a circumferential inner diameter, a second section defining a circumferential outer diameter that is larger than the circumferential outer diameter of the first section, a tip positioned at the distal end of the collet, and a chamfer formed between the outer diameter of the first section and the tip.

Cup plug insertion tool

A multistage machining process includes a plurality of stations. Workpiece feature quality is predicted based on decomposition of the machining process into sources of variation, reticulation of the machining process into machining stations and error models that account for significant contributions to feature quality including from categorical sources of variation.

Predictive modeling of machining line variation

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Clarkston, MI, United States of America

Patrick M Hilber